ID# : 49589
Solution name :
Solution description :
zDoop is a lightweight Hadoop distribution for Linux on System z. It enables access to the innovation and expanded talent pools in the Big Data ecosystem, keeps your data on System z for security and reliability, and uses IFLs for processing and analytics without MIPs. It includes Hive for familiar SQL access to data.
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- Get started with open source Apache Hadoop
- Start in under an hour with as few as two IFLs
- Scale performance linearly with the addition of IFLs
- Keep data secure within the reliable System z mainframe
- Supports Red Hat Enterprise Linux (RHEL) and SUSE Linux Enterprise Server (SLES).
- Use with vStorm Enterprise for point-and-click import of enterprise data including DB2, VSAM/QSAM, IMS, SMF/RMF, log files and more
- Provides data scientists with familiar tools including SQL queries through Hive support
- Makes efficient use of storage with Avro data compression
zDoop provides more a agile solution for applying analytics to enable data-driven decisions.
It can analyze large volumes of structured and unstructured data, and with vStorm Enterprise has self-service near real-time access to mainframe enterprise data including transactions and logs.
zDoop and vStorm Enterprise provide more data, more types of data, and quick setup in a secure environment.
zDoop unlocks new business opportunities by lowering the barrier to entry to Big Data and Hadoop for operators with mainframe servers. It extends new Big Data ecosystems to include System z.
Common focus and discussion of Big Data involves Hadoop on distributed platforms leveraging social media. This overlooks the rich source of customer and enterprise data within System z. Mainframe servers process 60% of online transactions, and this rich source of customer and business data can fuel new insights.
zDoop makes it easy for data scientists to leverage this data without having to remove it from the security and reliability of System z, and without generating MIPS during processing.
When combined with vStorm Enterprise (vStorm Enterprise includes zDoop), users gain self-service, near real-time access to System z data sources and maximize the value of the mainframe in their data ecosystem.
Return on investment
zDoop’s Return on Investment (ROI) is in its ability to start projects quickly and to offload analytics or batch processing workloads from z/OS.
Many analytics projects can benefit from shortening the time to implementation and reducing the time spent on ETL work between iterations. zDoop can be deployed in an hour on as few as two IFLs, making the implementation very quick. With vStorm Enterprise, enterprise data needed can be selected and imported in near real-time, on-demand, by the data scientist, thus shortening iterations.
zDoop runs on IFLs so that workloads do not incur MIPS. Batch processing workloads offloaded from z/OS can generate immediate and measurable savings.
zDoop is a lightweight, Apache Hadoop option for users who would like to start quickly, leverage their enterprise data, and prioritize security.
With a footprint as small as two IFLs, getting started with zDoop may leverage infrastructure the customer already has making it an excellent sandbox with actual enterprise data and an open source platform.
With vStorm Enterprise, data can be quickly imported into zDoop with a simple point-and-click GUI, eliminating the need for more costly and lengthy ETL consulting engagements and custom software.
zDoop enables users to access the benefits of Hadoop without having to remove their data from System z. When used with vStorm Enterprise, data is encrypted during import and data access is controlled by RACF.
zDoop is an alternative to off-platform and larger, less standards-based Hadoop distributions.
Aerospace & Defense Industry
Automotive OEMs (Manuf of Cars, Light Trucks, Motorbikes)
Distributors, Importers, Retailers
Banking - Global Customer Management
Banking - Other
Chemicals & Petroleum Industry
Chemicals & Life Sciences
Computer Services Industry
Business Recovery Services
Computer Leasing and Rental
Computer Maintenance & Services
Consumer Products Industry
CP - Beverages & Tobacco
CP - Food Manufacturing
CP - General Processing
CP - Household / Health & Beauty
Technology Systems and Microelectronics
Energy & Utilities Industry
Electric and Gas Energy Services Traders
Financial Markets Industry
Financial Markets - Global Customer Management
Financial Markets - Other
Government Central/Federal industry
Defense and National Security
Environ., Transp. & Pub. Works
Finance and Administration
Public Safety and Justice
Government, State/Provincial/Local Industry
Env/Trans/PubWrks, Spec. Dist.
Fin. & Admin, City/Municipal
Fin. & Admin, County/Shire
Fin. & Admin, Special District
Fin. & Admin, State/Prov./Reg.
PS & Justice, City/Municipal
PS & Justice, County/Shire
PS & Justice, Special District
PS & Justice, State/Prov./Reg.
Soc. Services, City/Municipal
Soc. Services, County/Shire
Soc. Services, State/Prov/Reg.
Health Plans / Payors
Integrated Healthcare Systems / Hospitals
Physicians / Clinics
Industrial Products Industry
Fabrication & Assembly
Insurance Carriers - Life & Asset Management (L&AM)
Insurance Carriers - Property & Casualty (P&C)
Other Insurance, N.E.C.
Life Sciences Industry
Media & Entertainment Industry
Printing & Publishing
Professional Services Industry
Marketing & Public Opinion Research
Retail - Apparel Manufacturing
Retail - Department Stores
Retail - Direct Marketing
Retail - Retail Food
Retail - Food Services
Retail - Hard Goods
Retail - Mass Merchants
Retail - Pharmacy/Drug
Retail - Specialty
Travel & Transportation Industry
Freight Forwarders & Arrangers
Global Dist. Systems / CRS
Passenger Water Transportation
Tour Operations and Arrangers
Wholesale Distribution & Services Industry
Wholesale - Food/Food Svc/Drug
Wholesale - General Trading Co.
Wholesale - Non-Durables
Wholesale - Durables
Wholesale - Services
Midmarket Business (100 to 499 employees)
Midmarket Business (500 to 1000 employees)
Large Business (greater than 1000 employees)
Countries/regions available for distribution
Date last modified: May 17, 2016
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